Search Results - (( dual solution _ algorithm ) OR ( whale optimization ((sensor algorithm) OR (mead algorithm)) ))*

Improved Whale Optimization Algorithm for Optimal Network Coverage in Industrial Wireless Sensor Networks by Devan, P Arun Mozhi, Ibrahim, Rosdiazli, Omar, Madiah Binti, Bingi, Kishore, Abdulrab, Hakim, Hussin, Fawnizu Azmadi

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Whale optimization algorithm strategies for higher interaction strength t-way testing by Ali Abdullah, Hassan, Salwani, Abdullah, Kamal Z., Zamli, Rozilawati, Razali

“…To ensure that WOA conquers premature convergence and avoids local optima for large search spaces (owing to high-order interaction), three variants of WOA have been developed, namely Structurally Modified Whale Optimization Algorithm (SWOA), Tolerance Whale Optimization Algorithm (TWOA), and Tolerance Structurally Modified Whale Optimization Algorithm (TSWOA). …”
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Whale optimization algorithm based on tent chaotic map for feature selection in soft sensors by AlRijeb, Mothena Fakhri Shaker, Othman, Mohammad Lutfi, Ishak, Aris, Hassan, Mohd Khair, Albaker, Baraa Munqith

“…One of the powerful optimization algorithms that is used for feature selection is the Whale Optimization Algorithm (WOA), which is a nature-inspired metaheuristic optimization algorithm that mimics the social behavior of humpback whales. …”
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Using the evolutionary mating algorithm for optimizing the user comfort and energy consumption in smart building by Mohd Herwan, Sulaiman, Zuriani, Mustaffa

“…EMA belongs to the evolutionary computation group of nature-inspired metaheuristic algorithms and offers a promising solution. A comparative analysis is conducted with other well-known algorithms such as Particle Swarm Optimization (PSO), Differential Evolution (DE), Ant Colony Optimization (ACO), Biogeography-Based Optimization (BBO), Teaching-Learning Based Optimization (TLBO), and Beluga Whale Optimization (BWO). …”
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Enhanced Adaptive Confidence-Based Q Routing Algorithms For Network Traffic by Yap, Soon Teck

“…These two adaptive routing algorithms enhance the existing Confidence-based Q (CQ) and Confidence-based Dual Reinforcement Q (CDRQ) Routing Algorithms. …”
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Using Electromagnetism-like algorithm and genetic algorithm to optimize time of task scheduling for dual manipulators by Abed I.A., Sahari K.S.M., Koh S.P., Tiong S.K., Jagadeesh P.

Subjects: “…Dual robots…”

Modeling Earthquake Bond Prices with Correlated Dual Trigger Indices and the Approximate Solution Using the Monte Carlo Algorithm by Riza Andrian Ibrahim, Sukono, Herlina Napitupulu, Rose Irnawaty Ibrahim

Dual solutions of MHD stagnation slip flow past a permeable plate by Junoh, Mohamad Mustaqim, Abdullah, Nursyahanis, Md Ali, Fadzilah

“…Dual solutions have been identified when suction is implied.…”
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Energy-efficient data transmission with clustering and compressive sensing in wireless sensor networks / Mukil Alagirisamy by Mukil , Alagirisamy

“…In the extended ECH-DUAL algorithm the network lifetime of ECH-DUAL is twice greater than the network lifetime of EAUC-DUAL. …”
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Simulation of single and dual layered rapid pressure swing adsorption by Lai, Yin Ling

“…A dual layered RPSA model is then developed. Verification of the applied numerical methods and computer programs are carried out successfully that the simulated results agree well with the analytical solutions and experimental data. …”
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A Dual Recurrent Neural Network-based Hybrid Approach for Solving Convex Quadratic Bi-Level Programming Problem by WATADA, J., ROY, A., LI, J., WANG, B., WANG, S.

“…The current paper presents a neural network-based hybrid strategy that combines a Genetic Algorithm (GA) and a Dual Recurrent Neural Network (DRNN) for efficiently and accurately solving the quadratic-Bi-level Programming Problem (BLPP). …”
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Optimization of the Time of Task Scheduling for Dual Manipulators using a Modified Electromagnetism-Like Algorithm and Genetic Algorithm by Abed I.A., Koh S.P., Sahari K.S.M., Jagadeesh P., Tiong S.K.

“…A method based on a modified electromagnetism-like with two-direction local search algorithm (MEMTDLS) and genetic algorithm (GA) is proposed to determine the optimal time of task scheduling for dual-robot manipulators. …”

Application of a primal-dual interior point algorithm using exact second order information with a novel non-monotone line search method to generally constrained minimax optimizatio... by Ahamad, Intan Salwani, Vassiliadis, Vassilios S.

“…This work presents the application of a primal-dual interior point method to minimax optimisation problems. …”
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The fusion of particle swarm optimization (PSO) and interior point method (IPM) as cooperative movement control algorithm in Swarm Robotics / Dada Emmanuel Gbenga by Dada Emmanuel, Gbenga

“…Also, many of these PSO algorithms employed hybrid methods that integrate other optimisation algorithms with the standard PSO. …”
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Abnormalities and fraud electric meter detection using hybrid support vector machine & genetic algorithm by Yap K.S., Abidin I.Z., Ahmad A.R., Hussien Z.F., Pok H.L., Ismail F.I., Mohamad A.M.

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Dynamic Economic Dispatch For Large Scale Power Systems: A Lagrangian Relaxation Approach by Ab Ghani, Mohd Ruddin, Hindi, K. S.

“…The model considers loading and deloading rates, limits on generators outputs, spinning reserve requirements and group power import-export limits. The solution algorithm is based on Lagrangian relaxation and on exploiting the intimate relationship between optimizing the dual Lagrangian function and Dantzig-Wolfe decomposition. …”
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Dual optimization approach in discrete Hopfield neural network by Guo, Yueling, Zamri, Nur Ezlin, Mohd Kasihmuddin, Mohd Shareduwan, Alway, Alyaa, Mansor, Mohd. Asyraf, Li, Jia, Zhang, Qianhong

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Dual Designated Path Routing Algorithm For Congestion Control In High-Density Network by Subramaniam, Siva Kumar, Azman, Amierul Syazrul, Ikhwan Lee, Mohamad Yusry Lee, Feroz, Farah Shahnaz

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Network performance optimisation using odd and even dual interleaving routing algorithm for oil and gas pipeline networke by Subramaniam, Siva Kumar, Ikhwan Lee, Mohamad Yusry Lee, Azman, Amierul Syazrul Azril, Feroz, Farah Shahnaz, Rajkumar, Sujatha

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Dual experience replay enhanced deep deterministic policy gradient for efficient continuous data sampling by Mohd Aris, Teh Noranis, Chen, Ningning, Mustapha, Norwati, Zolkepli, Maslina

“…TPDEB significantly improves convergence speed and robustness by coordinating dual-buffer updates across distributed agents, offering a scalable solution to real-world continuous control tasks. …”
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